Triple
T10698731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOS |
E252212
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Ol’ Dirty Bastard |
E70858
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ol’ Dirty Bastard | Statement: [SOS, featuresArtist, Ol’ Dirty Bastard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ol’ Dirty Bastard Context triple: [SOS, featuresArtist, Ol’ Dirty Bastard]
-
A.
Ol' Dirty Bastard
chosen
Ol' Dirty Bastard was an American rapper and founding member of the Wu-Tang Clan, known for his wild persona, distinctive vocal style, and influential role in 1990s hip-hop.
-
B.
Young Dirty Bastard
Young Dirty Bastard is an American rapper and the son of Wu-Tang Clan founding member Ol' Dirty Bastard, known for carrying on his father's musical legacy.
-
C.
DJ Nasty
DJ Nasty is a hip-hop music producer best known for his work on Ludacris’s album "Chicken-n-Beer."
-
D.
Canibus
Canibus is an American rapper known for his complex, battle-oriented lyricism and technically intricate rhyme schemes.
-
E.
Pharoahe Monch
Pharoahe Monch is an American rapper and lyricist known for his complex wordplay, intricate rhyme schemes, and influential work in underground hip-hop.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8a03848190bf68dd470bee103a |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998ed78e481908537ae10d55e6f65 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:12 p.m.